| Benchmark | Model | Rank | Results |
|---|---|---|---|
| object-detection-on-coco-val2017 | MNv4-Hybrid-M + RetinaNet | #438 | box AP: 34.0 |
| image-classification-on-imagenet | MNv4-Hybrid-L | #465 | Top 1 Accuracy: 83.4% |
| image-classification-on-imagenet | MNv4-Conv-L | #522 | Top 1 Accuracy: 82.9% |
| image-classification-on-imagenet | MNv4-Hybrid-M | #726 | Top 1 Accuracy: 80.7% |
| image-classification-on-imagenet | MNv4-Conv-M | #769 | Top 1 Accuracy: 79.9% |
| image-classification-on-imagenet | MNv4-Conv-S | #1029 | Top 1 Accuracy: 73.8% |